A Hybrid BERT Model That Incorporates Label Semantics via Adjustive Attention for Multi-Label Text Classification

A Hybrid BERT Model That Incorporates Label Semantics via Adjustive Attention for Multi-Label Text Classification

The multi-label text classification task aims to tag a document with a series of labels. Previous studies usually treated labels as symbols without semantics and ignored the relation among labels, which caused information loss. In this paper, we show that explicitly modeling label semantics can impr...

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Bibliographic Details
Main Authors: Linkun Cai, Yu Song, Tao Liu, Kunli Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-label text classification
label embedding
BERT
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9169885/

Internet

https://ieeexplore.ieee.org/document/9169885/

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